CN111475117A - Aggregation cloud storage QoS control method and system - Google Patents

Aggregation cloud storage QoS control method and system Download PDF

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CN111475117A
CN111475117A CN202010272635.2A CN202010272635A CN111475117A CN 111475117 A CN111475117 A CN 111475117A CN 202010272635 A CN202010272635 A CN 202010272635A CN 111475117 A CN111475117 A CN 111475117A
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许丽婷
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Nanjing College of Information Technology
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0602Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
    • G06F3/0614Improving the reliability of storage systems
    • G06F3/0619Improving the reliability of storage systems in relation to data integrity, e.g. data losses, bit errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1448Management of the data involved in backup or backup restore
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1458Management of the backup or restore process
    • G06F11/1464Management of the backup or restore process for networked environments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0629Configuration or reconfiguration of storage systems
    • G06F3/0631Configuration or reconfiguration of storage systems by allocating resources to storage systems
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    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0646Horizontal data movement in storage systems, i.e. moving data in between storage devices or systems
    • G06F3/065Replication mechanisms
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
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    • G06F3/0646Horizontal data movement in storage systems, i.e. moving data in between storage devices or systems
    • G06F3/0652Erasing, e.g. deleting, data cleaning, moving of data to a wastebasket
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0653Monitoring storage devices or systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0668Interfaces specially adapted for storage systems adopting a particular infrastructure
    • G06F3/067Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]

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Abstract

The invention discloses a method for controlling QoS of aggregated cloud storage, which comprises the steps of obtaining the response time, network bandwidth and storage space of each cloud storage, and calculating the QoS performance of each cloud storage; calculating the QoS grade of each cloud storage according to the QoS performance of each cloud storage; screening the cloud storage with the highest QoS grade, and marking the cloud storage as a current storage unit; creating a user data copy in response to storing user data to the current storage unit; in response to the failure of user data storage, reducing the cloud storage grade serving as a previous storage unit according to a preset rule, re-labeling the current storage unit, and storing a user data copy to the current storage unit; and deleting the user data copy in response to the user data storage success. A corresponding system is also disclosed. The invention stores the user data according to the QoS grade, creates the user data copy during the storage, and deletes the user data copy only after the storage is successful, thereby avoiding the loss of the user caused by the data uploading failure.

Description

Aggregation cloud storage QoS control method and system
Technical Field
The invention relates to a method and a system for controlling QoS (quality of service) of aggregated cloud storage, belonging to the field of computer technical information management.
Background
In a cloud storage system, data storage servers are all ordinary computers, so that success of uploading data by one hundred percent cannot be guaranteed. When user data is uploaded to cloud storage, a situation that the cloud storage cannot respond in time or cannot provide normal storage service may occur, and the user data is lost due to uploading failure.
Disclosure of Invention
The invention provides a method and a system for controlling QoS of aggregated cloud storage, which solve the problem that user data is lost due to uploading failure.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a method for controlling QoS of aggregation cloud storage comprises the following steps,
acquiring response time, network bandwidth and storage space of each cloud storage, and calculating QoS performance of each cloud storage;
calculating the QoS grade of each cloud storage according to the QoS performance of each cloud storage;
screening the cloud storage with the highest QoS grade, and marking the cloud storage as a current storage unit;
creating a user data copy in response to storing user data to the current storage unit;
in response to the failure of user data storage, reducing the cloud storage grade serving as the current storage unit according to a preset rule, re-labeling the current storage unit, and storing a user data copy to the current storage unit;
and deleting the user data copy in response to the user data storage success.
And acquiring the response time, the network bandwidth and the storage space of each cloud storage, and calculating the QoS performance of each cloud storage with the response time smaller than a threshold value.
The cloud storage QoS performance calculation formula is as follows,
Figure BDA0002443662990000021
wherein q is the cloud storage QoS performance, t, w, s are response time, network bandwidth and storage space respectively, and γ, α, β are weights of t, w, s respectively.
The cloud storage QoS class calculation formula is as follows,
Figure BDA0002443662990000022
wherein l is a cloud storage QoS level, q is a cloud storage QoS performance, and η is a maximum QoS level that the cloud storage can have.
And responding to the response time of the current storage unit for storing the user data being less than the threshold value, and the user data is successfully stored.
And if a plurality of cloud storages with the highest QoS grades exist, marking the cloud storage with the nearest address as the current storage unit.
In response to the failure of user data storage and the cloud storage of the same level of the cloud storage A serving as the current storage unit, selecting a lower-level cloud storage as the current storage unit, and reducing the QoS level of the cloud storage A by one level;
in response to the failure of user data storage and the fact that the cloud storage A serving as the current storage unit has the same-level cloud storage, selecting the cloud storage with the nearest address of the same level as the current storage unit, and reducing the QoS level of the cloud storage A by one level;
and in response to the failure of user data storage, the cloud storage A serving as the current storage unit and the cloud storage of the same level, and the QoS grade of the cloud storage A being the lowest grade, selecting the cloud storage with the highest QoS grade and the closest address as the current storage unit.
An aggregated cloud storage QoS control system, comprising,
QoS performance calculation module: acquiring response time, network bandwidth and storage space of each cloud storage, and calculating QoS performance of each cloud storage;
QoS grade calculation module: calculating the QoS grade of each cloud storage according to the QoS performance of each cloud storage;
a labeling module: screening the cloud storage with the highest QoS grade, and marking the cloud storage as a current storage unit;
a copy creation module: creating a user data copy in response to storing user data to the current storage unit;
and a re-labeling module: in response to the failure of user data storage, reducing the cloud storage grade serving as a previous storage unit according to a preset rule, re-labeling the current storage unit, and storing a user data copy to the current storage unit;
a duplicate deletion module: and deleting the user data copy in response to the user data storage success.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform an aggregated cloud storage QoS control method.
A computing device comprising one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing an aggregated cloud storage QoS control method.
The invention achieves the following beneficial effects: according to the method and the device, the cloud storage is divided into different QoS levels according to QoS performance, the user data is stored according to the QoS levels, the user data copy is created during storage, and the user data copy is deleted only after the storage is successful, so that the reliability of the cloud storage is improved, and the loss of a user caused by data uploading failure is avoided.
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FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a cloud storage and QoS level map;
fig. 3 is a schematic structural diagram of a converged cloud storage device.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a method for controlling QoS of aggregated cloud storage includes the following steps:
step 1, obtaining the response time, the network bandwidth and the storage space of each cloud storage, and calculating the QoS performance of each cloud storage with the response time smaller than a threshold value.
The aggregation cloud storage can have a plurality of cloud storage QoS grades, the measurement of different QoS dimensions is different, the QoS grade of any cloud storage can be determined by a plurality of elements, and the scheme provides a general method for dividing the QoS grade based on factors such as hardware realization, network quality and transmission cost.
And when initialization or each request period starts, sending a test data packet to each cloud storage, and acquiring the response time, the network bandwidth and the storage space of each cloud storage.
If the response time is greater than or equal to the threshold value, the corresponding cloud storage is indicated to be unavailable and cannot be used as a storage unit for storing user data, and the QoS performance of the cloud storage is set to be 0; and the rest cloud storage is available cloud storage, namely QoS performance calculation is carried out on the cloud storage with the response time smaller than the threshold value.
The factors for determining the QoS performance comprise response time, network bandwidth and storage space, and the specific formula is as follows:
Figure BDA0002443662990000041
wherein q is the cloud storage QoS performance, t, w, s are response time, network bandwidth and storage space, respectively, and γ, α, β are the weights of t, w, s, respectively, which are set according to the QoS requirement of the user.
And 2, calculating the QoS grade of each cloud storage according to the QoS performance of each cloud storage.
The cloud storage QoS grade calculation formula is as follows:
Figure BDA0002443662990000051
where l is the QoS class of the cloud storage, and η is the maximum QoS class that the cloud storage can possess.
As shown in fig. 2, there is a "one-to-one" or "many-to-one" mapping between cloud storage and QoS classes.
Step 3, screening the cloud storage with the highest QoS grade, and marking the cloud storage as a current storage unit; specifically, a pointer is set, the cloud storage pointed by the pointer is a current storage unit, and when data storage is subsequently performed, user data are directly uploaded to the current storage unit pointed by the pointer. And if a plurality of cloud storages with the highest QoS grades exist, marking the cloud storage with the nearest address as the current storage unit.
And 4, in response to the user data being stored in the current storage unit, copying the user data and creating a user data copy.
Step 5, in response to the failure of user data storage, namely that the corresponding time is greater than or equal to a threshold value, reducing the cloud storage level as the current storage unit according to a preset rule, re-labeling the current storage unit, and storing a user data copy to the current storage unit; and deleting the user data copy in response to the user data storage success, namely that the corresponding time is less than or equal to the threshold value.
The preset rules are as follows:
A. if the user data storage fails and the cloud storage A serving as the current storage unit has no same-level cloud storage, selecting a lower-level cloud storage as the current storage unit and reducing the QoS level of the cloud storage A by one level;
B. if the user data storage fails and the cloud storage A serving as the current storage unit has the same-level cloud storage, selecting the cloud storage with the nearest address at the same level as the current storage unit, and reducing the QoS level of the cloud storage A by one level;
C. and in response to the failure of user data storage, the cloud storage A serving as the current storage unit and the cloud storage of the same level, and the QoS grade of the cloud storage A being the lowest grade, selecting the cloud storage with the highest QoS grade and the closest address as the current storage unit.
According to the method, the cloud storage is divided into different QoS levels according to QoS performance, the user data is stored according to the QoS levels, the user data copy is created during storage, and the user data copy is deleted only after successful storage, so that the reliability of the cloud storage is improved, and the loss of a user caused by data uploading failure is avoided.
An aggregated cloud storage QoS control system, comprising,
QoS performance calculation module: acquiring response time, network bandwidth and storage space of each cloud storage, and calculating QoS performance of each cloud storage;
QoS grade calculation module: calculating the QoS grade of each cloud storage according to the QoS performance of each cloud storage;
a labeling module: screening the cloud storage with the highest QoS grade, and marking the cloud storage as a current storage unit;
a copy creation module: creating a user data copy in response to storing user data to the current storage unit;
and a re-labeling module: in response to the failure of user data storage, reducing the cloud storage grade serving as a previous storage unit according to a preset rule, re-labeling the current storage unit, and storing a user data copy to the current storage unit;
a duplicate deletion module: and deleting the user data copy in response to the user data storage success.
As shown in fig. 3, an aggregation cloud storage apparatus includes a client and a server; the client side is used for completing user registration and login, obtaining files uploaded by the user and obtaining various requirements of the user on cloud storage use. The server side is loaded with a converged cloud storage QoS control system, and QoS level division service, user data copy dynamic copying/deleting service and the like are achieved.
When the device is started, the QoS levels of the cloud storage are generated, and the cloud storage corresponding to each QoS level is recorded. The device not only provides a world wide web interface to obtain the QoS requirements of the file uploaded by the user and the cloud storage, but also provides the QoS services provided by the third-party application program integrating the device and the access device through providing restful API. Authentication by role-based access control is required before accessing the Restful API (some APIs only allow administrator user access and some APIs only general users can access).
The ordinary user accesses the foreground (client) website through the browser, registers the user name and the password and logs in. And verifying the user login request by managing the Session, and recording and maintaining the Session information in a database.
After login is successful, a website user side calls a Restful API uploading file (namely user data) at the back end, and provides a grading service for aggregated cloud storage. And the uploaded file is transmitted to the server side through the client side website. After the uploaded files are stored in the local server, a copy is created for each file at the server side, and then according to the generated cloud storage QoS grade, a distribution task is constructed and pushed to a message queue. And acquiring the supplier and related authorization information from the cloud storage supplier authorization service, completing file uploading, and sending back feedback information. If the uploading is successful, deleting the file copy of the server side; and if the uploading fails, the level of the cloud storage is reduced, and then the file is uploaded to other cloud storages again. Through the interaction of the two strategies of QoS classification and data copy, the device realizes the continuous optimization management of QoS according to the user requirement and the cloud storage capacity.
A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform an aggregated cloud storage QoS control method.
A computing device comprising one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing an aggregated cloud storage QoS control method.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (10)

1. A method for controlling QoS of aggregation cloud storage is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
acquiring response time, network bandwidth and storage space of each cloud storage, and calculating QoS performance of each cloud storage;
calculating the QoS grade of each cloud storage according to the QoS performance of each cloud storage;
screening the cloud storage with the highest QoS grade, and marking the cloud storage as a current storage unit;
creating a user data copy in response to storing user data to the current storage unit;
in response to the failure of user data storage, reducing the cloud storage grade serving as the current storage unit according to a preset rule, re-labeling the current storage unit, and storing a user data copy to the current storage unit;
and deleting the user data copy in response to the user data storage success.
2. The QoS control method for the aggregation cloud storage according to claim 1, wherein: and acquiring the response time, the network bandwidth and the storage space of each cloud storage, and calculating the QoS performance of each cloud storage with the response time smaller than a threshold value.
3. The QoS control method for the aggregation cloud storage according to claim 1 or 2, wherein: the cloud storage QoS performance calculation formula is as follows,
Figure FDA0002443662980000011
wherein q is the cloud storage QoS performance, t, w, s are response time, network bandwidth and storage space respectively, and γ, α, β are weights of t, w, s respectively.
4. The QoS control method for the aggregation cloud storage according to claim 1, wherein: the cloud storage QoS class calculation formula is as follows,
Figure FDA0002443662980000012
wherein l is a cloud storage QoS level, q is a cloud storage QoS performance, and η is a maximum QoS level that the cloud storage can have.
5. The QoS control method for the aggregation cloud storage according to claim 1, wherein: and responding to the response time of the current storage unit for storing the user data being less than the threshold value, and the user data is successfully stored.
6. The QoS control method for the aggregation cloud storage according to claim 1, wherein: and if a plurality of cloud storages with the highest QoS grades exist, marking the cloud storage with the nearest address as the current storage unit.
7. The QoS control method for the aggregation cloud storage according to claim 1, wherein: in response to the failure of user data storage and the cloud storage of the same level of the cloud storage A serving as the current storage unit, selecting a lower-level cloud storage as the current storage unit, and reducing the QoS level of the cloud storage A by one level;
in response to the failure of user data storage and the fact that the cloud storage A serving as the current storage unit has the same-level cloud storage, selecting the cloud storage with the nearest address of the same level as the current storage unit, and reducing the QoS level of the cloud storage A by one level;
and in response to the failure of user data storage, the cloud storage A serving as the current storage unit and the cloud storage of the same level, and the QoS grade of the cloud storage A being the lowest grade, selecting the cloud storage with the highest QoS grade and the closest address as the current storage unit.
8. An aggregation cloud storage QoS control system is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
QoS performance calculation module: acquiring response time, network bandwidth and storage space of each cloud storage, and calculating QoS performance of each cloud storage;
QoS grade calculation module: calculating the QoS grade of each cloud storage according to the QoS performance of each cloud storage;
a labeling module: screening the cloud storage with the highest QoS grade, and marking the cloud storage as a current storage unit;
a copy creation module: creating a user data copy in response to storing user data to the current storage unit;
and a re-labeling module: in response to the failure of user data storage, reducing the cloud storage grade serving as the current storage unit according to a preset rule, re-labeling the current storage unit, and storing a user data copy to the current storage unit;
a duplicate deletion module: and deleting the user data copy in response to the user data storage success.
9. A computer readable storage medium storing one or more programs, characterized in that: the one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods of claims 1-7.
10. A computing device, characterized by: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 1-7.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102170396A (en) * 2011-05-06 2011-08-31 浙江大学 QoS control method of cloud storage system based on differentiated service
CN104754001A (en) * 2013-12-30 2015-07-01 方正宽带网络服务股份有限公司 Cloud storage system and data storage method
US20160004552A1 (en) * 2013-12-13 2016-01-07 Hitachi, Ltd. Computer system and control method therefor
CN106534304A (en) * 2016-11-11 2017-03-22 北京邮电大学 Cloud storage method and device based on retrievable probability
CN108200169A (en) * 2017-12-30 2018-06-22 广东技术师范学院 A kind of first Placement Strategy control method of the copy of cloud storage system
CN108462736A (en) * 2018-01-21 2018-08-28 肖芳 A kind of cloud storage data copy storage method towards QoS
US20190034295A1 (en) * 2017-07-25 2019-01-31 Hubstor Inc. Methods and systems relating to network based storage
US20190082009A1 (en) * 2017-09-14 2019-03-14 International Business Machines Corporation Storage system using cloud based ranks as replica storage
US20190079693A1 (en) * 2017-09-14 2019-03-14 International Business Machines Corporation Dynamic data relocation using cloud based ranks
WO2019127234A1 (en) * 2017-12-28 2019-07-04 华为技术有限公司 Object migration method, device, and system

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102170396A (en) * 2011-05-06 2011-08-31 浙江大学 QoS control method of cloud storage system based on differentiated service
US20160004552A1 (en) * 2013-12-13 2016-01-07 Hitachi, Ltd. Computer system and control method therefor
CN104754001A (en) * 2013-12-30 2015-07-01 方正宽带网络服务股份有限公司 Cloud storage system and data storage method
CN106534304A (en) * 2016-11-11 2017-03-22 北京邮电大学 Cloud storage method and device based on retrievable probability
US20190034295A1 (en) * 2017-07-25 2019-01-31 Hubstor Inc. Methods and systems relating to network based storage
US20190082009A1 (en) * 2017-09-14 2019-03-14 International Business Machines Corporation Storage system using cloud based ranks as replica storage
US20190079693A1 (en) * 2017-09-14 2019-03-14 International Business Machines Corporation Dynamic data relocation using cloud based ranks
WO2019127234A1 (en) * 2017-12-28 2019-07-04 华为技术有限公司 Object migration method, device, and system
CN108200169A (en) * 2017-12-30 2018-06-22 广东技术师范学院 A kind of first Placement Strategy control method of the copy of cloud storage system
CN108462736A (en) * 2018-01-21 2018-08-28 肖芳 A kind of cloud storage data copy storage method towards QoS

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
许丽婷 等: "基于Docker技术的分层式数据安全性防护系统", vol. 43, no. 1, pages 51 - 55 *

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